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Studying Complex Adaptive Systems

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文摘 Complex adaptive systems (cas) – systems that involve many components that adapt or learn as they interact – are at the heart of important contemporary problems. The study of cas poses unique challenges: Some of our most powerful mathematical tools, particularly methods involving fixed points, attractors, and the like, are of limited help in understanding the development of cas. This paper suggests ways to modify research methods and tools, with an emphasis on the role of computer-based models, to increase our understanding of cas.
来源 Journal of Systems Science and Complexity ,2006,19(1):1-8 【核心库】
DOI 10.1007/s11424-006-0001-z
关键词 Agent-based systems ; classifier systems ; complex adaptive systems ; computer-based models ; credit assignment ; genetic algorithms ; parallelism ; rule discovery ; signal-passing ; tags
地址

Department of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, 1301 Beal Avenue, Ann Arbor, USA

语种 英文
文献类型 研究性论文
ISSN 1009-6124
学科 数学
文献收藏号 CSCD:2658853

参考文献 共 13 共1页

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引证文献 26

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2 Mu Yifen TOWARDS A THEORY OF GAME-BASED NON-EQUILIBRIUM CONTROL SYSTEMS Journal of Systems Science and Complexity,2012,25(2):209-226
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